X. Meng

ORCID: 0009-0007-8392-7408
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Quantum Chromodynamics and Particle Interactions
  • Dark Matter and Cosmic Phenomena
  • Particle Detector Development and Performance
  • Cosmology and Gravitation Theories
  • Black Holes and Theoretical Physics
  • Avian ecology and behavior
  • Neutrino Physics Research
  • Advanced Queuing Theory Analysis
  • Marine animal studies overview
  • Probability and Risk Models
  • Astrophysics and Cosmic Phenomena
  • Marine and fisheries research
  • Quantum chaos and dynamical systems
  • Arctic and Antarctic ice dynamics
  • Radiation Detection and Scintillator Technologies
  • Muon and positron interactions and applications
  • Medical Image Segmentation Techniques
  • Robotics and Sensor-Based Localization
  • Superconducting Materials and Applications
  • Neural Networks and Applications
  • Nuclear physics research studies

Sun Yat-sen University
2024

Institute of High Energy Physics
1996-2013

European Organization for Nuclear Research
2012

Charles University
2000-2001

Campbell Collaboration
2001

Czech Academy of Sciences, Institute of Physics
2000-2001

Universidad de Los Andes
2000-2001

Center for Research and Advanced Studies of the National Polytechnic Institute
2000-2001

University of Buenos Aires
2000-2001

Universidad San Francisco de Quito
2000-2001

The BES experiment at the Beijing electron-positron collider has observed ξ(2230) signal in π+π−, K+K−, K0SK0S, and p¯p final states with 4.6σ, 4.1σ, 4.0σ, 3.8σ statistical significances, respectively. new observations of two nonstrange decay modes ξ→π+π− are important evidence for glueball interpretation ξ(2230).Received 30 October 1995DOI:https://doi.org/10.1103/PhysRevLett.76.3502©1996 American Physical Society

10.1103/physrevlett.76.3502 article EN Physical Review Letters 1996-05-06

Abstract Simultaneous localization and mapping (SLAM) is the process of estimating trajectory a mobile sensor carrier creating representation its surroundings. Traditional SLAM algorithms are based on ‘static world assumption’ simplify problem by filtering out moving objects or tracking them separately in complex dynamic environments. However, this strong assumption restricts application highly unstructured In order to resolve above problem, paper propose an improved object-aware system...

10.1088/1361-6501/ad56b1 article EN Measurement Science and Technology 2024-06-11

During August and September 2023, three giant icebergs, each bigger than Paris, successively grazed Clarence Island in the northeast of Antarctic Peninsula, a home to population over 100,000 penguins. This incident may serve as clarion call for increasing iceberg calving due global warming its subsequent impact on ecosystem. Here we investigated this unexpected event using satellite imagery, employing wind speed, ocean currents, seabed topography data understand behavior icebergs. study...

10.5194/egusphere-egu24-6270 preprint EN 2024-03-08
Coming Soon ...